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Found 5 papers, 2 papers with code
Application of deep and reinforcement learning to boundary control problems
The boundary control problem is a non-convex optimization and control problem in many scientific domains, including fluid mechanics, structural engineering, and heat transfer optimization.
AI Driven Near Real-time Locational Marginal Pricing Method: A Feasibility and Robustness Study
This study evaluates the performance of popular machine learning and deep learning models in predicting LMP on multiple electricity grids.
Sensitivity Analysis of High-Dimensional Models with Correlated Inputs
Sensitivity analysis is an important tool used in many domains of computational science to either gain insight into the mathematical model and interaction of its parameters or study the uncertainty propagation through the input-output interactions.
Multiway $p$-spectral graph cuts on Grassmann manifolds
We demonstrate the effectiveness and accuracy of our algorithm in various artificial test-cases.
A Recursive Algebraic Coloring Technique for Hardware-Efficient Symmetric Sparse Matrix-Vector Multiplication
The symmetric sparse matrix-vector multiplication (SymmSpMV) is an important building block for many numerical linear algebra kernel operations or graph traversal applications.
Distributed, Parallel, and Cluster Computing Performance
